A leading sovereign wealth fund in Singapore is seeking an experienced Data Engineer to provide investment data services and analytics. The role requires building systems that leverage data for critical investment decisions. An ideal candidate will have over 8 years in data engineering, expertise in Python and cloud services like AWS, and strong communication skills. This position offers a dynamic environment, emphasizing collaboration and innovation in data technology.
Qualifications
8+ years experience in data engineering including data analytics and transformation.
Hands-on experience with Python, PySpark, SQL, and cloud services.
Strong understanding of data architecture and data governance concepts.
Responsibilities
Build and support enterprise investment data & analytics systems.
Develop business solutions using analytical skills for technology value.
Lead software delivery for agile projects with DevSecOps practices.
Skills
Python
PySpark
SparkSQL
SQL
DBT
Pandas
AWS
Docker
Kubernetes
GitHub workflows
CI/CD pipelines
Terraform
Tableau
Microsoft Power BI
Education
Bachelor’s degree in STEM
Job description
A leading sovereign wealth fund in Singapore is seeking an experienced Data Engineer to provide investment data services and analytics. The role requires building systems that leverage data for critical investment decisions. An ideal candidate will have over 8 years in data engineering, expertise in Python and cloud services like AWS, and strong communication skills. This position offers a dynamic environment, emphasizing collaboration and innovation in data technology.